Data Statistics with Full Stack Python

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Master Data Science skills using Python and real time project and go from Beginner to Super Advance level.

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112 on-demand videos & exercises
Level: All Levels
14hrs 16mins
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What to know about this course

Want to become a good Data Scientist? Then this is a right course for you. This course was designed by IT professionals with a Master's in Mathematics and Data Science. We cover complex theories, algorithms, and coding libraries in a very simple way so they can be easily grasped by any beginner. We walk you step-by-step through the World of Data science. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advanced level. All the codes and supporting files for this course are available at:

Who's this course for?

This course is for anyone who wants to become a Data Scientist.

What you'll learn

  • Master Data Science on Python.
  • Learn to use Numpy and Pandas for Data Analysis.
  • Learn all the math you need to understand Machine Learning algorithms.
  • Real-world case studies.
  • Learn to use Matplotlib for Python plotting. Learn to use Seaborn for statistical plots.
  • Master end-to-end data science solutions.
  • Learn all statistical concepts you need to become a Machine Learning ninja.

Key Features

  • The course explains how the exam is structured, the way that the questions should be approached and how to study successfully to pass.
  • The course also includes invaluable advice on the best way to prepare and what to expect from the testing process.

Course Curriculum

About the Author


Geekshub is an online education company in the field of big data and analytics. Their aim as a team is to provide the best skill-set to their customers to make them job-ready and prepare them to crack any challenge. They have the best trainers for cutting-edge technologies such as machine learning, deep learning, Natural Language Processing (NLP), reinforcement learning, and data science. Their instructors are people who graduated from IIT, MIT and Standford. They are passionate about teaching the topics using curated real-world case studies that calibrate the learning experience of students.

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